-
1 Comment
Sega Sammy Holdings Inc is currently in a long term uptrend where the price is trading 10.8% above its 200 day moving average.
From a valuation standpoint, the stock is 93.0% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 1.3.
Sega Sammy Holdings Inc's total revenue sank by 13.3% to $100B since the same quarter in the previous year.
Its net income has increased by 18.0% to $15B since the same quarter in the previous year.
Finally, its free cash flow fell by 73.8% to $2B since the same quarter in the previous year.
Based on the above factors, Sega Sammy Holdings Inc gets an overall score of 3/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
Sector | Communication Services |
Industry | Electronic Gaming & Multimedia |
ISIN | JP3419050004 |
Market Cap | 4B |
---|---|
Beta | 0.03 |
Dividend Yield | 1.7% |
PE Ratio | 15.99 |
Target Price | None |
Sega Sammy Holdings Inc., through its subsidiaries, engages in the game machine, entertainment content, and resort businesses. The company operates through Entertainment Contents, Pachislot and Pachinko Machines, and Resort segments. It develops Pachislot machines and provides machines for the pachinko business; offers entertainment-related content and services, including consumer and arcade games, toys, and animation, as well as develops and sells amusement machines and animated films; and develops and operates hotels, entertainment and commercial facilities, and casinos. The company was founded in 2004 and is based in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for RYU.F using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025